4 papers
SOSAE: Self-Organizing Sparse AutoEncoder
Sarthak Ketanbhai Modi, Zi Pong Lim, Yushi Cao +3
The process of tuning the size of the hidden layers for autoencoders has the benefit of providing optimally compressed representations for the input data. However, such hyper-param…
Towards Universal & Efficient Model Compression via Exponential Torque Pruning
Sarthak Ketanbhai Modi, Zi Pong Lim, Shourya Kuchhal +5
The rapid growth in complexity and size of modern deep neural networks (DNNs) has increased challenges related to computational costs and memory usage, spurring a growing interest…
Towards Calibration Enhanced Network by Inverse Adversarial Attack
Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi +3
Test automation has become increasingly important as the complexity of both design and content in Human Machine Interface (HMI) software continues to grow. Current standard practic…
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading
Yupeng Cheng, Qing Guo, Felix Juefei-Xu +3
Diabetic Retinopathy (DR) is a leading cause of vision loss around the world. To help diagnose it, numerous cutting-edge works have built powerful deep neural networks (DNNs) to au…